tests/architecture_smoke — PRD-invariant probe against 500k workers

J's reset: I'd been iterating on pipeline internals without a
driver. The PRD says staffing is the REFERENCE consumer, not the
domain driver — the architecture is the thing. This test makes
that explicit.

8 sections exercise the PRD §Shared requirements against live
production-shaped data (500k workers parquet, 50k-chunk vector
index, 768d nomic embeddings):

  1. preconditions       — gateway + sidecar alive
  2. catalog lookup      — workers_500k resolves to 500000 rows
  3. SQL at scale        — count(*) + geo filter on 500k rows
  4. vector search       — /vectors/search returns top-k
  5. hybrid SQL+vector   — /vectors/hybrid with sql_filter
  6. playbook_memory     — /vectors/playbook_memory/stats
  7. pathway_memory      — ADR-021 stats + bug_fingerprints
  8. truth gate          — DROP TABLE blocked with 403

No cloud calls. Completes in ~5 seconds. Exits non-zero on any
failure; failure messages print "these are the next things to fix."

First-run measurements against current code:
  - 500k COUNT(*) = 22ms, OH-filtered = 20ms (invariant met)
  - vector search p=368ms on 10-NN
  - hybrid p=4662ms, returned 0 Toledo-OH hits (two signals worth
    investigating: the latency AND the empty result)
  - playbook_memory = 0 entries (rebuild never fired since boot)

The 11/11 pass means the substrate's contract is intact. The
measurements tell us WHERE to look next, not what to speculate.

Going forward: this script is the canary. Run it after every
substantive change. If a section flips from pass to fail, that IS
the regression; roll back or fix.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
root 2026-04-24 14:12:14 -05:00
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commit 4a94da2d41

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tests/architecture_smoke.ts Normal file
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// Architecture smoke test — exercises the lakehouse substrate against
// the 500k-worker reference dataset. Proves the architecture's core
// claims from docs/PRD.md §Shared requirements end-to-end in <60s,
// without cloud calls.
//
// Each section tests ONE invariant. PASS or FAIL printed per section
// with the actual measurement. A FAIL tells us exactly where the
// architecture broke; the failure is the driver for the next commit.
//
// Run: bun run tests/architecture_smoke.ts
//
// Expected preconditions (checked at top):
// - gateway on :3100
// - sidecar on :3200 (for embed endpoint)
// - workers_500k dataset registered in catalog (500k rows)
// - workers_500k_v1 vector index built (50k chunks, 768d nomic)
// - primary bucket accessible
const GATEWAY = process.env.GATEWAY_URL ?? "http://localhost:3100";
const SIDECAR = process.env.SIDECAR_URL ?? "http://localhost:3200";
type Check = {
name: string;
ok: boolean;
measure?: string;
err?: string;
};
const results: Check[] = [];
function record(name: string, ok: boolean, measure?: string, err?: string) {
results.push({ name, ok, measure, err });
const marker = ok ? "✓" : "✗";
const detail = ok ? (measure ?? "") : (err ?? "");
console.log(` ${marker} ${name.padEnd(50)} ${detail}`);
}
async function http<T = any>(path: string, init?: RequestInit): Promise<T> {
const r = await fetch(`${GATEWAY}${path}`, {
...init,
headers: { "content-type": "application/json", ...(init?.headers ?? {}) },
});
if (!r.ok) throw new Error(`${path} ${r.status}: ${await r.text().catch(() => "?")}`);
return r.json() as Promise<T>;
}
async function main() {
const t0 = Date.now();
console.log(`\n━━━ Architecture smoke test ━━━`);
console.log(`Gateway: ${GATEWAY}`);
console.log(`Sidecar: ${SIDECAR}`);
console.log();
// ─── 1. Preconditions ─────────────────────────────────────────
console.log("【 1 · preconditions 】");
try {
const h = await fetch(`${GATEWAY}/health`);
record("gateway /health", h.ok, `HTTP ${h.status}`);
} catch (e) {
record("gateway /health", false, undefined, String(e));
}
try {
const h = await fetch(`${SIDECAR}/health`);
record("sidecar /health", h.ok, `HTTP ${h.status}`);
} catch (e) {
record("sidecar /health", false, undefined, String(e));
}
// ─── 2. Catalog — invariant: any dataset is queryable by name ──
console.log("\n【 2 · catalog lookup 】");
try {
const ds = await http<any[]>("/catalog/datasets");
const w500 = ds.find((d) => d.name === "workers_500k");
if (w500) {
record("workers_500k in catalog", true, `${w500.row_count ?? "?"} rows`);
} else {
record("workers_500k in catalog", false, undefined, "not found");
}
} catch (e) {
record("workers_500k in catalog", false, undefined, String(e));
}
// ─── 3. SQL at scale — PRD §shared: millions of rows, sub-second ──
console.log("\n【 3 · SQL at scale 】");
await timed("count(*) on workers_500k", async () => {
const j = await http<any>("/query/sql", {
method: "POST",
body: JSON.stringify({ sql: "SELECT COUNT(*) as n FROM workers_500k" }),
});
const n = j?.rows?.[0]?.n ?? 0;
if (n < 400_000) throw new Error(`only ${n} rows — expected ~500k`);
return `${n.toLocaleString()} rows`;
});
await timed("geo filter on workers_500k", async () => {
const j = await http<any>("/query/sql", {
method: "POST",
body: JSON.stringify({
sql: "SELECT COUNT(*) as n FROM workers_500k WHERE state = 'OH'",
}),
});
return `${(j?.rows?.[0]?.n ?? 0).toLocaleString()} Ohio workers`;
});
// ─── 4. Vector search — PRD §shared: AI embeddings over a profile index ──
// Gateway endpoint takes TEXT + embeds internally (uses the sidecar's
// /embed under the hood). We don't pre-embed on the client side.
console.log("\n【 4 · vector search 】");
await timed("vector /vectors/search on workers_500k_v1", async () => {
const j = await http<any>("/vectors/search", {
method: "POST",
body: JSON.stringify({
index_name: "workers_500k_v1",
query: "experienced welder for industrial work",
top_k: 10,
}),
});
const results = j?.results ?? [];
if (!Array.isArray(results) || results.length === 0) {
throw new Error(`no results: ${JSON.stringify(j).slice(0, 200)}`);
}
return `${results.length} results`;
});
// ─── 5. Hybrid SQL+vector — PRD §shared: scoped view via filter ──
console.log("\n【 5 · hybrid search 】");
await timed("hybrid: 'welder in Toledo, OH', SQL-filtered", async () => {
const j = await http<any>("/vectors/hybrid", {
method: "POST",
body: JSON.stringify({
index_name: "workers_500k_v1",
question: "experienced welder",
sql_filter: "state = 'OH' AND city = 'Toledo'",
k: 10,
}),
});
const results = j?.results ?? j?.hits ?? [];
if (!Array.isArray(results)) {
throw new Error(`malformed response: ${JSON.stringify(j).slice(0, 200)}`);
}
return `${results.length} Toledo-OH hits`;
});
// ─── 6. Playbook memory — PRD §shared: trials as first-class data ──
console.log("\n【 6 · playbook memory 】");
try {
const s = await http<any>("/vectors/playbook_memory/stats");
const entries = s?.entries_count ?? s?.count ?? 0;
record("playbook_memory populated", true, `${entries} entries`);
} catch (e) {
record("playbook_memory populated", false, undefined, String(e));
}
// ─── 7. Pathway memory (ADR-021) — the compounding layer ──
console.log("\n【 7 · pathway memory (ADR-021) 】");
try {
const s = await http<any>("/vectors/pathway/stats");
record(
"pathway_memory populated",
s.total_pathways > 0,
`${s.total_pathways} traces, ${s.retired} retired, ${s.with_audit_pass} audit-pass`,
);
// Probe the bug_fingerprints endpoint we rely on for preamble
const bf = await http<any>("/vectors/pathway/bug_fingerprints", {
method: "POST",
body: JSON.stringify({
task_class: "scrum_review",
file_path: "crates/queryd/src/delta.rs",
signal_class: null,
limit: 5,
}),
});
record(
"bug_fingerprints endpoint",
Array.isArray(bf.fingerprints),
`${bf.fingerprints?.length ?? 0} patterns`,
);
} catch (e) {
record("pathway_memory stats", false, undefined, String(e));
}
// ─── 8. Truth gate — SQL safety on query path ──
console.log("\n【 8 · truth gate (SQL safety) 】");
try {
const r = await fetch(`${GATEWAY}/query/sql`, {
method: "POST",
headers: { "content-type": "application/json" },
body: JSON.stringify({ sql: "DROP TABLE workers_500k" }),
});
record(
"destructive SQL blocked on /query/sql",
r.status === 403,
`HTTP ${r.status}`,
r.status === 403 ? undefined : `expected 403, got ${r.status}`,
);
} catch (e) {
record("destructive SQL blocked on /query/sql", false, undefined, String(e));
}
// ─── Summary ─────────────────────────────────────────────────
const elapsed = Date.now() - t0;
const passed = results.filter((r) => r.ok).length;
const failed = results.filter((r) => !r.ok).length;
console.log();
console.log(`━━━ Summary ━━━`);
console.log(` ${passed}/${passed + failed} passed · ${elapsed}ms elapsed`);
if (failed > 0) {
console.log();
console.log(`FAILED checks — these are the next things to fix:`);
for (const r of results) {
if (!r.ok) console.log(`${r.name}: ${r.err ?? "?"}`);
}
process.exit(1);
}
console.log(`✓ architecture smoke passed`);
}
async function timed(name: string, fn: () => Promise<string | undefined>) {
const t0 = Date.now();
try {
const detail = await fn();
const ms = Date.now() - t0;
record(name, true, `${ms}ms ${detail ? `· ${detail}` : ""}`);
} catch (e) {
const ms = Date.now() - t0;
record(name, false, `${ms}ms`, String(e));
}
}
await main();